Greg Mori
50 papers · 2008–2024 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (77) π Academic Marathon Β· Full π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Trendsetter Combo
(11)
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Deep Specialist
(11)
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Keyword Champion
(3)
π§
Keyword Pioneer
π
Conference Pioneer
π
Trend Setter
β‘
Prolific Year Β· Productive
ποΈ
Keyword Collector
(217)
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Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
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Century Club Β· Silver
Top co-authors
Research topics
Machine Learning
(34)
Core Methods
(23)
Deep Learning
(22)
Computer Vision
(17)
Analysis
(17)
Learning Types Β· Machine Learning
(17)
Artificial Intelligence
(14)
Models
(11)
Core AI
(8)
Learning Types Β· Deep Learning
(8)
Architectures
(7)
Application Areas
(6)
Bayesian & Probabilistic
(4)
Learning Paradigms
(4)
Processing
(4)
Keywords
latent variable model
(7)
variational autoencoder
(6)
latent representation
(5)
latent variable
(5)
latent svm
(4)
support vector machine
(4)
image classification
(4)
group activity recognition
(3)
latent support vector machine
(3)
neural network
(3)
multi-label classification
(3)
weakly supervised learning
(3)
variational inference
(3)
action recognition
(3)
reinforcement learning
(3)
structured prediction
(3)
hidden conditional random fields
(2)
visual recognition
(2)
video analysis
(2)
activity recognition
(2)
Papers
Embodied Human Activity Recognition
WACV 2024
Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space
ICLR 2022
Monotonicity regularization: Improved penalties and novel applications to disentangled representation learning and robust classification
UAI 2022
RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression
ICML 2022
Rethinking Learning Approaches for Long-Term Action Anticipation
ECCV 2022
TD-GEN: Graph Generation Using Tree Decomposition
AISTATS 2022
Continuous Latent Process Flows
NeurIPS 2021
Hyper-LifelongGAN: Scalable Lifelong Learning for Image Conditioned Generation
CVPR 2021
Learning Discriminative Prototypes With Dynamic Time Warping
CVPR 2021
Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data
AISTATS 2021
Adapting Grad-CAM for Embedding Networks
WACV 2020
CoPhy: Counterfactual Learning of Physical Dynamics
ICLR 2020
Generating Videos of Zero-Shot Compositions of Actions and Objects
ECCV 2020
House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation
ECCV 2020
Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows
NeurIPS 2020
Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation
ECCV 2020
A Variational Auto-Encoder Model for Stochastic Point Processes
CVPR 2019
LayoutVAE: Stochastic Scene Layout Generation From a Label Set
ICCV 2019
Learning a Deep ConvNet for Multi-Label Classification With Partial Labels
CVPR 2019
Lifelong GAN: Continual Learning for Conditional Image Generation
ICCV 2019
Similarity-Preserving Knowledge Distillation
ICCV 2019
Variational Autoencoders with Jointly Optimized Latent Dependency Structure
ICLR 2019
CLIP-Q: Deep Network Compression Learning by In-Parallel Pruning-Quantization
CVPR 2018
Constraint-Aware Deep Neural Network Compression
ECCV 2018
Hierarchical Relational Networks for Group Activity Recognition and Retrieval
ECCV 2018
Object Level Visual Reasoning in Videos
ECCV 2018
Probabilistic Neural Programmed Networks for Scene Generation
NeurIPS 2018
Probabilistic Video Generation using Holistic Attribute Control
ECCV 2018
Sparsely Aggregated Convolutional Networks
ECCV 2018
Factorized Variational Autoencoders for Modeling Audience Reactions to Movies
CVPR 2017
Learning to Learn From Noisy Web Videos
CVPR 2017
A Hierarchical Deep Temporal Model for Group Activity Recognition
CVPR 2016
End-To-End Learning of Action Detection From Frame Glimpses in Videos
CVPR 2016
Learning Structured Inference Neural Networks With Label Relations
CVPR 2016
Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition
CVPR 2016
Learning Ensembles of Potential Functions for Structured Prediction With Latent Variables
ICCV 2015
Learning Temporal Embeddings for Complex Video Analysis
ICCV 2015
Visual Recognition by Counting Instances: A Multi-Instance Cardinality Potential Kernel
CVPR 2015
Action is in the Eye of the Beholder: Eye-gaze Driven Model for Spatio-Temporal Action Localization
NeurIPS 2013
A Max-Margin Riffled Independence Model for Image Tag Ranking
CVPR 2013
Compositional Models for Video Event Detection: A Multiple Kernel Learning Latent Variable Approach
ICCV 2013
From Subcategories to Visual Composites: A Multi-level Framework for Object Detection
ICCV 2013
Handling Uncertain Tags in Visual Recognition
ICCV 2013
Latent Maximum Margin Clustering
NeurIPS 2013
Learning Class-to-Image Distance with Object Matchings
CVPR 2013
Kernel Latent SVM for Visual Recognition
NeurIPS 2012
A Discriminative Latent Model of Image Region and Object Tag Correspondence
NeurIPS 2010
Beyond Actions: Discriminative Models for Contextual Group Activities
NeurIPS 2010
A Rate Distortion Approach for Semi-Supervised Conditional Random Fields
NeurIPS 2009
Learning a discriminative hidden part model for human action recognition
NeurIPS 2008